Gigapipe
by Gigapipe · ClickHouse-based observability backend for logs, metrics, traces and profiles
BenchRank score
Screenshots of Gigapipe
Homepage
Overview
Gigapipe stores logs, metrics, traces and profiles in one ClickHouse-backed engine and is queried through the Grafana UI. It accepts ingestion and query protocols used by Prometheus, Loki, Tempo, Pyroscope, OpenTelemetry, InfluxDB, Elastic and Datadog. It can be self-hosted under AGPLv3, deployed in your own cloud, or run as a managed plan, with ClickHouse or S3-compatible storage.
- Best for
- Engineering teams on Grafana who want a self-hostable observability backend with flat pricing
- Pricing
- Free AGPLv3 open-source edition; Pro at €349/month after a 14-day trial, with extra storage at €100 per TB; Enterprise is quoted on request.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- One ClickHouse engine for logs, metrics, traces and profiles
- Flat pricing: no per-seat fees, no metered ingestion
- Keeps existing agents via Loki, Prometheus and OTel protocols
- Run on-premise, in your own cloud, or fully managed
Trade-offs
- Pro is standalone only; HA and multi-node need Enterprise
- Storage above the 600 GB base costs €100 per extra TB
- Visualisation still relies on Grafana; no UI of its own
- Homepage and pricing page state different Pro ingest limits
How Gigapipe markets itself
A structured read of the promise, proof and page design on Gigapipe’s captured homepage.
Homepage capture
“Your Observability Stack.”
- Angle: Contrarian / anti-incumbent
- Hero: Illustration
Pricing
Published plans and prices from Gigapipe’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Gigapipe pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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